Mac Studio
Geekbench AI Score
10896
Single Precision Score
12124
Half Precision Score
11319
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 07:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4556
847.2 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.9 IPS |
|
|
Image Classification (Q)
|
96% |
4209
785.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10129
164.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10056
163.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9586
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47465
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50994
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48850
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4714
374.0 IPS |
|
|
Object Detection (HP)
|
100% |
4993
396.0 IPS |
|
|
Object Detection (Q)
|
92% |
4629
369.5 IPS |
|
|
Face Detection (SP)
|
100% |
18794
223.3 IPS |
|
|
Face Detection (HP)
|
100% |
18961
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
16435
195.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23830
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24992
192.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
22994
179.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80023
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96434
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
94501
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15923
588.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16816
620.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14756
544.9 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1782
30.8 IPS |
